Impact of the COVID-19 Pandemic on Travel Mode Choices and Fatal Crash Rates

Elsayed, Ahmed; Smith, Sage; Abdel-Rahim, Ahmed; Chang, Kevin; University of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET); University of Idaho

doi:://hdl.handle.net/11122/15735

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Impact of the COVID-19 Pandemic on Travel Mode Choices and Fatal Crash Rates

2025-03-01
By Elsayed, Ahmed ; Smith, Sage ; Abdel-Rahim, Ahmed ; ...

English

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Details:

Creators:

Elsayed, Ahmed ; Smith, Sage ; Abdel-Rahim, Ahmed ; Chang, Kevin

Elsayed, Ahmed ; Smith, Sage ; Abdel-Rahim, Ahmed ; Chang, Kevin Less -
Corporate Creators:

University of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET) ; University of Idaho

University of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET) ; University of Idaho Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Binary Logistic Model COVID-19 Crashes Fatalities Latent Class Analysis Logistic Regression Analysis Mode Choice Multinomial Logistic Regression Nonmotorized Transportation Transportation Modes Travel Behavior Travel Patterns
Publication/ Report Number:

INE/CSET 25.01
DOI:

http://hdl.handle.net/11122/15735
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

University of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET)
Abstract:

The COVID-19 pandemic caused unprecedented disruptions to human mobility and transportation systems worldwide, significantly altering travel behavior and mode choices. This study investigates these changes within the Pacific Northwest region of the United States, encompassing a mix of urban and rural contexts with diverse socio- demographic characteristics. Using survey data from 807 respondents, we analyze transportation patterns before and during the pandemic, focusing on shifts in mode shares and probabilities of switching travel modes. The analysis incorporates McNemar’s test, logistic regression, and latent class analysis (LCA) to evaluate the extent of these shifts and identify key influencing factors. The results reveal a substantial reduction in public transport usage, reflecting heightened concerns over health risks and limited operational capacity during the pandemic. In contrast, there was a notable increase in the use of private vehicles and active transportation modes, such as walking and cycling.
Format:

PDF
Funding:

69A3551747129
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:08eaead4a3d05ec622543178abfcdbf0fde0fa7c05a2471537d6811b2b83866d2aab36b7b8bf81a1ac3d22cd479c002374af488941b4d532e8b3ccfc31188516
Download URL:

https://rosap.ntl.bts.gov/view/dot/80600/dot_80600_DS1.pdf
File Type:

[PDF-1.54 MB]